{"id":"https://openalex.org/W4313472245","doi":"https://doi.org/10.3390/rs15010236","title":"XANet: An Efficient Remote Sensing Image Segmentation Model Using Element-Wise Attention Enhancement and Multi-Scale Attention Fusion","display_name":"XANet: An Efficient Remote Sensing Image Segmentation Model Using Element-Wise Attention Enhancement and Multi-Scale Attention Fusion","publication_year":2022,"publication_date":"2022-12-31","ids":{"openalex":"https://openalex.org/W4313472245","doi":"https://doi.org/10.3390/rs15010236"},"language":"en","primary_location":{"id":"doi:10.3390/rs15010236","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15010236","pdf_url":"https://www.mdpi.com/2072-4292/15/1/236/pdf?version=1672906696","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/1/236/pdf?version=1672906696","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078148930","display_name":"Chenbin Liang","orcid":"https://orcid.org/0000-0002-1499-7177"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenbin Liang","raw_affiliation_strings":["Northwest Land and Resource Research Center, Shaanxi Normal University, Xi\u2019an 710000, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100190, China","State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","Northwest Land and Resource Research Center, Shaanxi Normal University, Xi'an 710000, China"],"affiliations":[{"raw_affiliation_string":"Northwest Land and Resource Research Center, Shaanxi Normal University, Xi\u2019an 710000, China","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Northwest Land and Resource Research Center, Shaanxi Normal University, Xi'an 710000, China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101410361","display_name":"Baihua Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baihua Xiao","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110893215","display_name":"Bo Cheng","orcid":"https://orcid.org/0000-0002-8933-9726"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Cheng","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076092683","display_name":"Yunyun Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunyun Dong","raw_affiliation_strings":["Northwest Land and Resource Research Center, Shaanxi Normal University, Xi\u2019an 710000, China","Northwest Land and Resource Research Center, Shaanxi Normal University, Xi'an 710000, China"],"affiliations":[{"raw_affiliation_string":"Northwest Land and Resource Research Center, Shaanxi Normal University, Xi\u2019an 710000, China","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"Northwest Land and Resource Research Center, Shaanxi Normal University, Xi'an 710000, China","institution_ids":["https://openalex.org/I88830068"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076092683"],"corresponding_institution_ids":["https://openalex.org/I88830068"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.6037,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68134551,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"15","issue":"1","first_page":"236","last_page":"236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8155624866485596},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6861647367477417},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6146364212036133},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6027180552482605},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5648712515830994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5444068908691406},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5099202394485474},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.46372100710868835},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.437518835067749},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3326655626296997},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3324137032032013},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14932459592819214},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1066698431968689}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8155624866485596},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6861647367477417},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6146364212036133},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6027180552482605},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5648712515830994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5444068908691406},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5099202394485474},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.46372100710868835},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.437518835067749},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3326655626296997},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3324137032032013},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14932459592819214},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1066698431968689},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15010236","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15010236","pdf_url":"https://www.mdpi.com/2072-4292/15/1/236/pdf?version=1672906696","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6284ad4fe7984feea9a60f09f8f14dc4","is_oa":true,"landing_page_url":"https://doaj.org/article/6284ad4fe7984feea9a60f09f8f14dc4","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 1, p 236 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/1/236/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15010236","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 15; Issue 1; Pages: 236","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15010236","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15010236","pdf_url":"https://www.mdpi.com/2072-4292/15/1/236/pdf?version=1672906696","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3000842641","display_name":null,"funder_award_id":"62001275","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5538849239","display_name":null,"funder_award_id":"61731022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5689836589","display_name":null,"funder_award_id":"62071469","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G997903294","display_name":null,"funder_award_id":"71621002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313472245.pdf"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2028973780","https://openalex.org/W2035244546","https://openalex.org/W2096579040","https://openalex.org/W2118246710","https://openalex.org/W2127218421","https://openalex.org/W2133059825","https://openalex.org/W2164500538","https://openalex.org/W2194775991","https://openalex.org/W2395611524","https://openalex.org/W2401246392","https://openalex.org/W2412782625","https://openalex.org/W2531409750","https://openalex.org/W2560023338","https://openalex.org/W2563705555","https://openalex.org/W2592939477","https://openalex.org/W2598666589","https://openalex.org/W2752782242","https://openalex.org/W2799544692","https://openalex.org/W2884585870","https://openalex.org/W2888493720","https://openalex.org/W2902930830","https://openalex.org/W2922746274","https://openalex.org/W2941956444","https://openalex.org/W2955058313","https://openalex.org/W2962858109","https://openalex.org/W2962964995","https://openalex.org/W2963091558","https://openalex.org/W2963150697","https://openalex.org/W2963166928","https://openalex.org/W2963881378","https://openalex.org/W2964231884","https://openalex.org/W2964309882","https://openalex.org/W2964774028","https://openalex.org/W2969394474","https://openalex.org/W2991488782","https://openalex.org/W2995766874","https://openalex.org/W3034552520","https://openalex.org/W3035502324","https://openalex.org/W3035588244","https://openalex.org/W3103092912","https://openalex.org/W3107634219","https://openalex.org/W3119205652","https://openalex.org/W3207400234","https://openalex.org/W4206244656","https://openalex.org/W4214666412","https://openalex.org/W4294842893","https://openalex.org/W4312127593","https://openalex.org/W4313023122","https://openalex.org/W6640054144","https://openalex.org/W6762215367","https://openalex.org/W6763367864","https://openalex.org/W6767471572","https://openalex.org/W6806648790"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W4285411112","https://openalex.org/W4390516098","https://openalex.org/W2965083567","https://openalex.org/W4235240664","https://openalex.org/W2085033728","https://openalex.org/W1838576100","https://openalex.org/W2757182831","https://openalex.org/W2171299904","https://openalex.org/W2095886385"],"abstract_inverted_index":{"Massive":[0],"and":[1,24,34,47,49,115,124,142,146,164,177,188,200,207,213,230,247],"diverse":[2],"remote":[3,59],"sensing":[4,60],"data":[5,22],"provide":[6],"opportunities":[7],"for":[8,174,184],"data-driven":[9],"tasks":[10],"in":[11,19,61,107,226],"the":[12,31,55,68,87,94,113,119,138,144,181,185,209,216,250,257],"real":[13],"world,":[14],"but":[15],"also":[16],"present":[17],"challenges":[18],"terms":[20],"of":[21,58,66,72,149,191,211,253,260],"processing":[23],"analysis,":[25],"especially":[26],"pixel-level":[27],"image":[28],"interpretation.":[29],"However,":[30],"existing":[32,239],"shallow-learning":[33],"deep-learning":[35],"segmentation":[36,78,84,224],"methods,":[37],"bounded":[38],"by":[39],"their":[40],"technical":[41],"bottlenecks,":[42],"cannot":[43],"properly":[44],"balance":[45],"accuracy":[46],"efficiency,":[48,231],"are":[50,109],"thus":[51],"hardly":[52],"scalable":[53],"to":[54,100,111,167,203],"practice":[56],"scenarios":[57],"a":[62,82,150,170,235,243],"successful":[63],"way.":[64],"Instead":[65],"following":[67],"time-consuming":[69],"deep":[70],"stacks":[71],"local":[73],"operations":[74],"as":[75,153,232],"most":[76],"state-of-the-art":[77,223],"networks,":[79],"we":[80],"propose":[81],"novel":[83,104],"model":[85,228],"with":[86,242],"encoder\u2013decoder":[88],"structure,":[89],"dubbed":[90],"XANet,":[91],"which":[92,133],"leverages":[93],"more":[95],"computationally":[96],"economical":[97],"attention":[98,105,131,172,240],"mechanism":[99,183],"boost":[101],"performance.":[102],"Two":[103],"modules":[106,241],"XANet":[108,206,220],"proposed":[110],"strengthen":[112],"encoder":[114],"decoder,":[116],"respectively,":[117],"namely":[118],"Attention":[120,125],"Recalibration":[121],"Module":[122,127],"(ARM)":[123],"Fusion":[126],"(AFM).":[128],"Unlike":[129],"current":[130],"modules,":[132],"only":[134],"focus":[135],"on":[136,198],"elevating":[137],"feature":[139,151,175],"representation":[140],"power,":[141],"regard":[143],"spatial":[145,163,187],"channel":[147,165,189],"enhancement":[148],"map":[152,173],"two":[154],"independent":[155],"steps,":[156],"ARM":[157,212,233],"gathers":[158],"element-wise":[159],"semantic":[160],"descriptors":[161],"coupling":[162],"information":[166],"directly":[168],"generate":[169],"3D":[171],"enhancement,":[176],"AFM":[178,248],"innovatively":[179],"utilizes":[180],"cross-attention":[182],"sufficient":[186,258],"fusion":[190],"multi-scale":[192],"features.":[193],"Extensive":[194],"experiments":[195],"were":[196],"conducted":[197],"ISPRS":[199],"GID":[201],"datasets":[202],"comprehensively":[204],"analyze":[205],"explore":[208],"effects":[210],"AFM.":[214],"Furthermore,":[215],"results":[217],"demonstrate":[218],"that":[219],"surpasses":[221],"other":[222],"methods":[225],"both":[227],"performance":[229],"yields":[234],"superior":[236],"improvement":[237],"versus":[238],"competitive":[244],"computational":[245],"overhead,":[246],"achieves":[249],"complementary":[251],"advantages":[252],"multi-level":[254],"features":[255],"under":[256],"consideration":[259],"efficiency.":[261]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-01-25T23:04:38.658462","created_date":"2023-01-06T00:00:00"}